Design a State Machine for a Conversational Agent
A structured prompt that helps you design a state machine for a conversational agent by asking the model to show its reasoning, not just its conclusion.
When to use this
Use when you need a second opinion on how to design a state machine for a conversational agent and want the reasoning shown, not just an answer.
Prompt template
Act as an AI agent architect. Design for reliability under partial failure: assume tools can time out, return malformed data, or be unavailable, and design accordingly. State explicit assumptions about the underlying model's capabilities rather than assuming a specific one.
Task: Design a state machine for a conversational agent.
Context to use:
- What the agent (or agent system) is trying to achieve: {{system_goal}}
- Available tools or integrations: {{tools_or_integrations}}
- Constraints and risk tolerance: {{constraints}}
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistCustomize
What the agent (or agent system) is trying to achieve is required
Preview
Act as an AI agent architect. Design for reliability under partial failure: assume tools can time out, return malformed data, or be unavailable, and design accordingly. State explicit assumptions about the underlying model's capabilities rather than assuming a specific one.
Task: Design a state machine for a conversational agent.
Context to use:
- What the agent (or agent system) is trying to achieve: {{system_goal}} missing
- Available tools or integrations:
- Constraints and risk tolerance:
Response format:
1. Brief recommendation or approach
2. Main deliverable, organized into clear sections
3. Assumptions and unresolved questions
4. Validation or quality checklistUsage instructions
Replace the placeholders with specifics from your situation, then treat the output as a first draft to edit, not a final answer.
Example output
A short recommendation, a structured deliverable broken into clear sections, a list of assumptions, and a validation checklist, all specific to the design a state machine for a conversational agent scenario described above.
Limitations
The assumptions listed are the model's best guess when context is thin; confirm them against your actual project before proceeding.
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